| 2026 | AAAI | FedMerge: Federated Model Merging for Personalization. | Shutong Chen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2026 | AAAI | Federated Vision-Language-Recommendation with Personalized Fusion. | Zhiwei Li, Guodong Long, Jing Jiang, Chengqi Zhang, Qiang Yang |
| 2026 | AAAI | Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation. | Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan |
| 2025 | AAAI | Federated Foundation Models on Heterogeneous Time Series. | Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2025 | AAAI | Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach. | Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang |
| 2025 | HCI | WisdomTales: Improving Senior Citizens' Cognitive Abilities with Arithmetic Practices. | Rayden Wei Xuan Teo, Siyuan Liu, Chengqi Zhang |
| 2025 | ICLR | Biologically Plausible Brain Graph Transformer. | Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, Yaochu Jin |
| 2025 | ICML | Efficient Personalized Adaptation for Physiological Signal Foundation Model. | Chenrui Wu, Haishuai Wang, Xiang Zhang, Chengqi Zhang, Jiajun Bu |
| 2025 | ICML | Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning. | Puning Yang, Qizhou Wang, Zhuo Huang, Tongliang Liu, Chengqi Zhang, Bo Han |
| 2025 | IJCAI | Federated Low-Rank Adaptation for Foundation Models: A Survey. | Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang, Chengqi Zhang |
| 2025 | IJCNN | MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning. | Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Chengqi Zhang, Allison Clarke, Clement Schlegel |
| 2024 | IJCAI | Federated Prompt Learning for Weather Foundation Models on Devices. | Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang |
| 2024 | IJCAI | What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning. | Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang |
| 2024 | SDM | Test-Time Training for Spatial-Temporal Forecasting. | Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang |
| 2023 | AAAI | Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. | Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang |
| 2023 | ACL | Improving the Robustness of Summarization Systems with Dual Augmentation. | Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang |
| 2023 | CIKM | Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. | Xu Zhang, Yongshun Gong, Xinxin Zhang, Xiaoming Wu, Chengqi Zhang, Xiangjun Dong |
| 2023 | ICDE | A Review for Weighted MinHash Algorithms (Extended abstract). | Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang |
| 2023 | ICML | Does Continual Learning Equally Forget All Parameters? | Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2023 | IJCAI | Dual Personalization on Federated Recommendation. | Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang |
| 2023 | PAKDD | RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks. | Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang |
| 2022 | AAAI | FedProto: Federated Prototype Learning across Heterogeneous Clients. | Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang |
| 2022 | ACL | Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. | Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang |
| 2022 | APWEB | Robust Clustered Federated Learning with Bootstrap Median-of-Means. | Ming Xie, Jie Ma, Guodong Long, Chengqi Zhang |
| 2022 | ICML | EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. | Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang |
| 2022 | IJCNN | Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection. | Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang |
| 2021 | APWEB | Semi-supervised Variational Multi-view Anomaly Detection. | Shaoshen Wang, Ling Chen, Farookh Khadeer Hussain, Chengqi Zhang |
| 2021 | CIS | Influence Between Music Based on Big Data Analysis. | Hongxin Wu, Chengqi Zhang |
| 2021 | EMNLP | Generalization in Text-based Games via Hierarchical Reinforcement Learning. | Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang |
| 2021 | ICLR | Isometric Propagation Network for Generalized Zero-shot Learning. | Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang |
| 2021 | ICTAI | Cross-aligned and Gumbel-refactored Autoencoders for Multi-view Anomaly Detection. | Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang |
| 2021 | KDD | Multi-graph Multi-label Learning with Dual-granularity Labeling. | Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Chengqi Zhang |
| 2020 | AAAI | Attribute Propagation Network for Graph Zero-Shot Learning. | Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2020 | COLING | RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. | Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang |
| 2020 | COLING | Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. | Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang |
| 2020 | ICDM | BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. | Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang |
| 2020 | IJCAI | Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. | Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang |
| 2020 | KDD | Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. | Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang |
| 2019 | IJCAI | Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. | Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang |
| 2019 | IJCAI | Attributed Graph Clustering: A Deep Attentional Embedding Approach. | Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2019 | IJCAI | Graph WaveNet for Deep Spatial-Temporal Graph Modeling. | Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2019 | NAACL | Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together. | Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2018 | AAAI | DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding. | Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang |
| 2018 | ICDM | Binarized attributed network embedding. | Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang |
| 2018 | ICDM | SINE: Scalable Incomplete Network Embedding. | Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang |
| 2018 | ICLR | Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling. | Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2018 | IJCAI | Adversarially Regularized Graph Autoencoder for Graph Embedding. | Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang |
| 2018 | IJCAI | Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. | Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang |
| 2018 | IJCAI | Efficient Attributed Network Embedding via Recursive Randomized Hashing. | Wei Wu, Bin Li, Ling Chen, Chengqi Zhang |
| 2018 | IJCNN | Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data. | Xinxin Jiang, Shirui Pan, Guodong Long, Jiang Chang, Jing Jiang, Chengqi Zhang |
| 2018 | PAKDD | MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. | Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang |
| 2017 | EDBT | Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data. | Bozhong Liu, Ling Chen, Xingquan Zhu, Ying Zhang, Chengqi Zhang, Weidong Qiu |
| 2017 | IJCAI | Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness. | Kaisong Song, Wei Gao, Shi Feng, Daling Wang, Kam-Fai Wong, Chengqi Zhang |
| 2017 | IJCAI | User Profile Preserving Social Network Embedding. | Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang |
| 2017 | WWW | Consistent Weighted Sampling Made More Practical. | Wei Wu, Bin Li, Ling Chen, Chengqi Zhang |
| 2016 | AAAI | Dynamic Concept Composition for Zero-Example Event Detection. | Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann |
| 2016 | APWEB | Mining Co-locations from Continuously Distributed Uncertain Spatial Data. | Bozhong Liu, Ling Chen, Chunyang Liu, Chengqi Zhang, Weidong Qiu |
| 2016 | CIKM | Global and Local Influence-based Social Recommendation. | Qinzhe Zhang, Jia Wu, Hong Yang, Weixue Lu, Guodong Long, Chengqi Zhang |
| 2016 | CIKM | Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks. | Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang |
| 2016 | ICDE | TrGraph: Cross-network transfer learning via common signature subgraphs. | Meng Fang, Jie Yin, Xingquan Zhu, Chengqi Zhang |
| 2016 | ICDE | Joint structure feature exploration and regularization for multi-task graph classification. | Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu |
| 2016 | ICDM | Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash. | Wei Wu, Bin Li, Ling Chen, Chengqi Zhang |
| 2016 | ICDM | Inferring Latent Network from Cascade Data for Dynamic Social Recommendation. | Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang |
| 2016 | ICDM | Homophily, Structure, and Content Augmented Network Representation Learning. | Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang |
| 2016 | IJCAI | Tri-Party Deep Network Representation. | Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Yang Wang |
| 2016 | IJCAI | Unsupervised Feature Learning from Time Series. | Qin Zhang, Jia Wu, Hong Yang, Yingjie Tian, Chengqi Zhang |
| 2016 | IJCNN | Co-clustering enterprise social networks. | Ruiqi Hu, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang, Chengqi Zhang |
| 2016 | PAKDD | Cross-View Feature Hashing for Image Retrieval. | Wei Wu, Bin Li, Ling Chen, Chengqi Zhang |
| 2016 | PAKDD | Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior. | Qinzhe Zhang, Qin Zhang, Guodong Long, Peng Zhang, Chengqi Zhang |
| 2016 | WWW | PerSentiment: A Personalized Sentiment Classification System for Microblog Users. | Kaisong Song, Ling Chen, Wei Gao, Shi Feng, Daling Wang, Chengqi Zhang |
| 2016 | SIGIR | Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization. | Kaisong Song, Wei Gao, Ling Chen, Shi Feng, Daling Wang, Chengqi Zhang |
| 2015 | ADC | SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams. | Haishuai Wang, Peng Zhang, Ling Chen, Chengqi Zhang |
| 2015 | CIKM | Defragging Subgraph Features for Graph Classification. | Haishuai Wang, Peng Zhang, Ivor W. Tsang, Ling Chen, Chengqi Zhang |
| 2015 | ICDM | Towards Mining Trapezoidal Data Streams. | Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu |
| 2015 | IJCAI | Multi-Graph-View Learning for Complicated Object Classification. | Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang |
| 2015 | IJCAI | Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search. | Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Chengqi Zhang, Qinfeng Shi |
| 2015 | IJCNN | Online diffusion source detection in social networks. | Haishuai Wang, Peng Zhang, Ling Chen, Huan Liu, Chengqi Zhang |
| 2015 | KDD | Locally Densest Subgraph Discovery. | Lu Qin, Rong-Hua Li, Lijun Chang, Chengqi Zhang |
| 2014 | CIKM | Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning. | Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang |
| 2014 | ICDM | SNOC: Streaming Network Node Classification. | Ting Guo, Xingquan Zhu, Jian Pei, Chengqi Zhang |
| 2014 | ICDM | Multi-graph-view Learning for Graph Classification. | Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang |
| 2014 | IJCNN | Attribute weighting: How and when does it work for Bayesian Network Classification. | Jia Wu, Zhihua Cai, Shirui Pan, Xingquan Zhu, Chengqi Zhang |
| 2014 | IJCNN | Dual instance and attribute weighting for Naive Bayes classification. | Jia Wu, Shirui Pan, Zhihua Cai, Xingquan Zhu, Chengqi Zhang |
| 2014 | PAKDD | Multi-Instance Learning from Positive and Unlabeled Bags. | Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai |
| 2014 | SIGMOD | Scalable big graph processing in MapReduce. | Lu Qin, Jeffrey Xu Yu, Lijun Chang, Hong Cheng, Chengqi Zhang, Xuemin Lin |
| 2014 | SDM | Multi-Graph Learning with Positive and Unlabeled Bags. | Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Zhihua Cai |
| 2014 | SSDBM | Matching dominance: capture the semantics of dominance for multi-dimensional uncertain objects. | Ying Zhang, Wenjie Zhang, Xuemin Lin, Muhammad Aamir Cheema, Chengqi Zhang |
| 2013 | EDBT | Mining frequent serial episodes over uncertain sequence data. | Li Wan, Ling Chen, Chengqi Zhang |
| 2013 | ICDE | Graph stream classification using labeled and unlabeled graphs. | Shirui Pan, Xingquan Zhu, Chengqi Zhang, Philip S. Yu |
| 2013 | ICDM | Mining Dependent Frequent Serial Episodes from Uncertain Sequence Data. | Li Wan, Ling Chen, Chengqi Zhang |
| 2013 | ICDM | Multi-instance Multi-graph Dual Embedding Learning. | Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai |
| 2013 | KDD | Summarizing probabilistic frequent patterns: a fast approach. | Chunyang Liu, Ling Chen, Chengqi Zhang |
| 2013 | KSEM | Cost-Sensitive Classification with k-Nearest Neighbors. | Zhenxing Qin, Alan Tao Wang, Chengqi Zhang, Shichao Zhang |
| 2013 | SDM | Mining Probabilistic Representative Frequent Patterns From Uncertain Data. | Ling Chen, Chunyang Liu, Chengqi Zhang |
| 2013 | SDM | Active Class Discovery and Learning for Networked Data. | Meng Fang, Jie Yin, Chengqi Zhang, Xingquan Zhu |
| 2012 | AAAI | Active Learning from Oracle with Knowledge Blind Spot. | Meng Fang, Xingquan Zhu, Chengqi Zhang |
| 2012 | CIKM | An efficient and simple under-sampling technique for imbalanced time series classification. | Guohua Liang, Chengqi Zhang |
| 2012 | CIKM | TCSST: transfer classification of short & sparse text using external data. | Guodong Long, Ling Chen, Xingquan Zhu, Chengqi Zhang |
| 2012 | ICDM | Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams. | Bin Li, Xingquan Zhu, Lianhua Chi, Chengqi Zhang |
| 2011 | AAAI | An Empirical Study of Bagging Predictors for Different Learning Algorithms. | Guohua Liang, Xingquan Zhu, Chengqi Zhang |
| 2011 | ADMA | An Empirical Evaluation of Bagging with Different Algorithms on Imbalanced Data. | Guohua Liang, Chengqi Zhang |
| 2011 | AusDM | Empirical Study of Bagging Predictors on Medical Data. | Guohua Liang, Chengqi Zhang |
| 2011 | CIKM | e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning. | Xiangjun Dong, Zhigang Zheng, Longbing Cao, Yanchang Zhao, Chengqi Zhang, Jinjiu Li, Wei Wei, Yuming Ou |
| 2011 | CIKM | Do they belong to the same class: active learning by querying pairwise label homogeneity. | Yifan Fu, Bin Li, Xingquan Zhu, Chengqi Zhang |
| 2011 | IJCAI | Cross-Domain Collaborative Filtering over Time. | Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang, Xiangyang Xue, Xindong Wu |
| 2011 | IJCAI | Similarity-Based Approach for Positive and Unlabeled Learning. | Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang, Zhifeng Hao |
| 2011 | PAKDD | Agent-Based Subspace Clustering. | Chao Luo, Yanchang Zhao, Dan Luo, Chengqi Zhang, Wei Cao |
| 2011 | SDM | Semi-supervised Variable Weighting for Clustering. | Ling Chen, Chengqi Zhang |
| 2010 | ADMA | Cost Sensitive Classification in Data Mining. | Zhenxing Qin, Chengqi Zhang, Tao Wang, Shichao Zhang |
| 2010 | ECSA | An ADL-Approach to Specifying and Analyzing Centralized-Mode Architectural Connection. | Guoxin Su, Mingsheng Ying, Chengqi Zhang |
| 2010 | IJCNN | Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation. | Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang |
| 2010 | PAKDD | A Novel Prototype Reduction Method for the | Tao Yang, Longbing Cao, Chengqi Zhang |
| 2010 | PAKDD | Combining Support Vector Machines and the | Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang |
| 2009 | ICDM | Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. | Yanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao |
| 2009 | ICDM | Vague One-Class Learning for Data Streams. | Xingquan Zhu, Xindong Wu, Chengqi Zhang |
| 2009 | KSEM | Debt Detection in Social Security by Adaptive Sequence Classification. | Shanshan Wu, Yanchang Zhao, Huaifeng Zhang, Chengqi Zhang, Longbing Cao, Hans Bohlscheid |
| 2009 | PAKDD | Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data. | Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid |
| 2009 | SIGMOD | Efficient approximate entity extraction with edit distance constraints. | Wei Wang, Chuan Xiao, Xuemin Lin, Chengqi Zhang |
| 2008 | ICDM | Multi-Space-Mapped SVMs for Multi-class Classification. | Bo Liu, Longbing Cao, Philip S. Yu, Chengqi Zhang |
| 2008 | ICDM | Cleansing Noisy Data Streams. | Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi |
| 2008 | PAKDD | Combined Association Rule Mining. | Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang |
| 2008 | PRICAI | Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation. | Yuming Ou, Longbing Cao, Chao Luo, Chengqi Zhang |
| 2007 | AAAI | Measuring the Uncertainty of Differences for Contrasting Groups. | Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang |
| 2007 | AAAI | Cost-Sensitive Imputing Missing Values with Ordering. | Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi Zhang |
| 2007 | KSEM | Cost-Time Sensitive Decision Tree with Missing Values. | Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang |
| 2007 | PAKDD | Towards Business Interestingness in Actionable Knowledge Discovery. | Dan Luo, Longbing Cao, Chao Luo, Chengqi Zhang, Weiyuan Wang |
| 2007 | PAKDD | Evolutionary Optimization of Trading Strategies. | Jiarui Ni, Longbing Cao, Chengqi Zhang |
| 2007 | PAKDD | GBKII: An Imputation Method for Missing Values. | Chengqi Zhang, Xiaofeng Zhu, Jilian Zhang, Yongsong Qin, Shichao Zhang |
| 2006 | APWEB | Detecting Collusion Attacks in Security Protocols. | Qingfeng Chen, Yi-Ping Phoebe Chen, Shichao Zhang, Chengqi Zhang |
| 2006 | APWEB | Adapting K-Means Algorithm for Discovering Clusters in Subspaces. | Yanchang Zhao, Chengqi Zhang, Shichao Zhang, Lianwei Zhao |
| 2006 | AusDM | Discovering Debtor Patterns of Centrelink Customers. | Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming Ou, Jiarui Ni, Chengqi Zhang |
| 2006 | KDD | Identifying bridging rules between conceptual clusters. | Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang |
| 2006 | PAKDD | Domain-Driven Actionable Knowledge Discovery in the Real World. | Longbing Cao, Chengqi Zhang |
| 2006 | PAKDD | Is Frequency Enough for Decision Makers to Make Decisions?. | Shichao Zhang, Jeffrey Xu Yu, Jingli Lu, Chengqi Zhang |
| 2006 | PRICAI | Fuzzy Genetic Algorithms for Pairs Mining. | Longbing Cao, Dan Luo, Chengqi Zhang |
| 2006 | PRICAI | Mining Frequent Itemsets for Protein Kinase Regulation. | Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang, Lianggang Li |
| 2006 | PRICAI | Optimized Parameters for Missing Data Imputation. | Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang |
| 2005 | ADMA | In-Depth Data Mining and Its Application in Stock Market. | Chengqi Zhang, Shichao Zhang |
| 2005 | DaWaK | A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases. | Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Zhang |
| 2005 | ISPA | An Efficient Implementation of the Backtesting of Trading Strategies. | Jiarui Ni, Chengqi Zhang |
| 2005 | PAKDD | A Recent-Biased Dimension Reduction Technique for Time Series Data. | Yanchang Zhao, Chengqi Zhang, Shichao Zhang |
| 2004 | APWEB | A Verification Model for Electronic Transaction Protocols. | Qingfeng Chen, Chengqi Zhang, Shichao Zhang |
| 2004 | HIS | Integrative Early Requirements Analysis for Agent-Based Systems. | Longbing Cao, Chengqi Zhang, Dan Luo, Wanli Chen, Neda Zamani |
| 2003 | APWEB | Verifying the Purchase Request in SET Protocol. | Qingfeng Chen, Chengqi Zhang, Shichao Zhang, Chunsheng Li |
| 2003 | HIS | Systematic Engineering in Designing Architecture of Telecommunications Business Intelligence System. | Longbing Cao, Dan Luo, Chao Luo, Chengqi Zhang |
| 2003 | HIS | Building Agent-Based Hybrid Intelligent Systems. | Zili Zhang, Chengqi Zhang |
| 2003 | IDEAL | Verifying the Payment Authorization in SET Protocol. | Qingfeng Chen, Chengqi Zhang, Shichao Zhang |
| 2003 | IDEAL | A Ring-Based Architectural Model for Middle Agents in Agent-Based System. | Chunsheng Li, Chengqi Zhang, Zili Zhang |
| 2003 | IDEAL | A Database-Independent Approach of Mining Association Rules with Genetic Algorithm. | Xiaowei Yan, Chengqi Zhang, Shichao Zhang |
| 2003 | ISMIS | Theoretical Evaluation of Ring-Based Architectural Model for Middle Agents in Agent-Based System. | Chunsheng Li, Chengqi Zhang, Longbing Cao |
| 2003 | SEKE | Open Giant Intelligent Information Systems and Its Agent-Oriented Analysis and Design. | Longbing Cao, Chunsheng Li, Chengqi Zhang, Ruwei Dai |
| 2003 | SEKE | A Database-Independent Strategy for Confidence Determination. | Xiaowei Yan, Chengqi Zhang, Shichao Zhang |
| 2002 | APSEC | An Agent-Based Framework for Petroleum Information Services from Distributed Heterogeneous Data Resources. | Chengqi Zhang, Chunsheng Li, Zili Zhang |
| 2002 | ICML | Mining Both Positive and Negative Association Rules. | Xindong Wu, Chengqi Zhang, Shichao Zhang |
| 2002 | ICMLA | Association Rule Mining by Agents. | Xiaowei Yan, Chengqi Zhang, Shichao Zhang, John K. Debenham |
| 2002 | ICMLA | Mining Very Large Databases Using Software Agents. | Chengqi Zhang, Xiaowei Yan, Shichao Zhang, Paul Kennedy |
| 2002 | PRICAI | An Agent-Based Hybrid Intelligent System for Financial Investment Planning. | Zili Zhang, Chengqi Zhang |
| 2001 | CATA | Approaches to implementing decision aggregation in multi-agent systems. | Chengqi Zhang, Zili Zhang |
| 2001 | CATA | Post-processing of multimedia information - concents, problems, and techniques. | Chengqi Zhang, Zili Zhang |
| 2001 | COCOON | A Logical Framework for Knowledge Sharing in Multi-agent Systems. | Kaile Su, Xudong Luo, Huaiqing Wang, Chengqi Zhang, Shichao Zhang, Qingfeng Chen |
| 2001 | DASFAA | Mining Small Databases by Collecting Knowledge. | Shichao Zhang, Chengqi Zhang |
| 2000 | IDEAL | Building an Ontology for Financial Investment. | Zili Zhang, Chengqi Zhang, Swee San Ong |
| 2000 | PRICAI | Perceiving Environments for Intelligent Agents. | Yuefeng Li, Chengqi Zhang |
| 1999 | PRICAI | A Class of Isomorphic Transformations for Integrating EMYCIN-Style and PROSPECTOR-Style Systems into a Rule-Based Multi-Agent System. | Xudong Luo, Chengqi Zhang, Ho-fung Leung |
| 1998 | ICTAI | An efficient and practical diagnosis model. | Yue Xu, Chengqi Zhang |
| 1998 | PRICAI | A Neural Network Diagnosis Model without Disorder Independence Assumption. | Yue Xu, Chengqi Zhang |
| 1996 | ICTAI | An Improved Critical Diagnosis Reasoning Method. | Yue Xu, Chengqi Zhang |
| 1996 | PRICAI | A Unified Algebraic Structure for Uncertain Reasoning. | Xudong Luo, Chengqi Zhang |